// Copyright 2022 ByteDance and/or its affiliates.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#ifndef MONOLITH_NATIVE_TRAINING_DATA_TRAINING_INSTANCE_CC_DATA_FORMAT_OPTIONS_H_
#define MONOLITH_NATIVE_TRAINING_DATA_TRAINING_INSTANCE_CC_DATA_FORMAT_OPTIONS_H_

#include <iostream>

namespace tensorflow {
namespace monolith_tf {

struct DataFormatOptions {
  bool lagrangex_header = false;
  bool kafka_dump_prefix = false;
  bool has_sort_id = false;
  bool kafka_dump = false;
};

inline std::ostream& operator<<(std::ostream& os,
                                const DataFormatOptions& opts) {
  return os << "lagrangex_header: " << opts.lagrangex_header
            << " kafka_dump_prefix: " << opts.kafka_dump_prefix
            << " has_sort_id: " << opts.has_sort_id
            << " kafka_dump: " << opts.kafka_dump;
}

}  // namespace monolith_tf
}  // namespace tensorflow

#endif  // MONOLITH_NATIVE_TRAINING_DATA_TRAINING_INSTANCE_CC_DATA_FORMAT_OPTIONS_H_
